What it does
This design is specifically designed for the recycling of solar photovoltaic panel resources and environmental protection. It is a mobile intelligent recycling device that recovers photovoltaic panels in photovoltaic power stations or distributed photovoltaic
Your inspiration
With the rapid development of the global photovoltaic industry, the photovoltaic modules installed in the early days have gradually entered the retirement period. It is estimated that the global annual scrapping volume will exceed one million tons by 2030. These discarded components contain harmful substances such as lead and cadmium, as well as scarce resources like silicon and silver. If not properly handled, they will cause soil pollution and resource loss.；
How it works
The base station receives the message that photovoltaic modules with insufficient power generation efficiency are damaged and need to be recycled, and dispatches unmanned intelligent recycling vehicles to automatically navigate to the operation area for distributed recycling. The system will plan the optimal driving route based on real-time road condition information to ensure that the recycling vehicle can arrive at the designated photovoltaic power station efficiently and on time. The intelligent photovoltaic module recycling vehicle has strong mobility. Two devices work in coordination and it is equipped with its own power system, making it suitable for various terrains and climatic conditions. Navigate to the designated location for the recovery of photovoltaic modules.
Design process
Against the backdrop of the rapid development of the photovoltaic industry, the number of retired photovoltaic modules has been increasing year by year. Traditional recycling methods are inefficient and cause serious waste of resources. At present, photovoltaic recycling and dismantling equipment has some pain points, such as insufficient monitoring and early warning capabilities, low degree of dismantling automation, insufficient accuracy of material sorting, and prominent contradiction between environmental protection and economy. The core contradiction lies in technical bottlenecks such as the integration of multi-source heterogeneous data, intelligent planning of dismantling paths, dynamic identification of material properties, and modular design and rapid model change. To this end, the design plan focuses on the intelligent monitoring and early warning module, the adaptive disassembly execution system, the precise material sorting system and the green and efficient processing module.
How it is different
Innovation has broken through the bottlenecks of "low efficiency, high loss and pollution" in traditional photovoltaic recycling, and established a complete innovation chain of "technology research and development - equipment manufacturing - industrial application - standard norms". Intelligent detection and life prediction system. By introducing artificial intelligence and big data technologies and collecting and analyzing the operation data of photovoltaic modules, precise prediction of their remaining lifespan can be achieved. Precise and non-destructive disassembly technology system. An in-situ intelligent disassembly device adapted to various installation scenarios was designed. By using multi-degree-of-freedom mechanical arms and visual recognition technology, the non-destructive and rapid disassembly of photovoltaic panels on the installation brackets was achieved. Shared recycling network platform.
Future plans
Fill some gaps in international photovoltaic recycling technology and equipment, promote the standardized and large-scale development of the photovoltaic recycling industry, and help build a complete circular economy chain for the photovoltaic industry; It can also achieve efficient recycling and reuse of resources such as silicon wafers, glass, and metals through high-value recycling of materials, reduce reliance on primary resources, lower resource consumption and environmental pollution, and practice the concept of green development.；
Awards
米兰设计周中国高校设计学科师生优秀作品展一等奖；全国大学生创新创业训练计划省级立项；第十一届全国青年科普创新实验暨作品大赛省三等奖
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